code: def test_dtype_standardization(self):
      float_input = Input(shape=(2,), dtype="float16")
      int_input = Input(shape=(2,), dtype="int32")
      float_output = float_input + 2
      int_output = int_input + 2
      model = Functional(
          (float_input, int_input), (float_output, int_output)
      )
      float_data, int_data = model((np.ones((2, 2)), np.ones((2, 2))))
  
      self.assertEqual(
          backend.standardize_dtype(float_data.dtype), "float16"
      )
      self.assertEqual(
          backend.standardize_dtype(int_data.dtype), "int32"
      )
  
imports: import warnings
  import numpy
  import pytest
  from keras import backend
  from keras import layers
  from keras import testing
  from keras.layers.core.input_layer import Input
  from keras.layers.input_spec import InputSpec
  from keras.models import Functional
  from keras.models import Model
label_desc: Use image node_id 13 for calling the FunctionalTest obj's underlying member method code with example usage: obj.test_dtype_standardization() without return types